Grant: Collaborative Research and Development Grants
University of Alberta
$129,600.00
Novel selection strategies for sows and boars to optimize litter quality and performance
EF 2016-17
Résumé
Global, national and regional genetic companies are able to supply the Canadian pork production industry with production sows and terminal line boars with exceptional genetic merit. However, using existing management practices, and because of inadvertent genetic-environment interactions, producers fail to fully realize this genetic potential at the production level. Through a concerted effort to address issues related to the sows' impact on the performance of their litters and to maximize the genetic impact of top boars, the proposed research project will improve industry competitiveness and create opportunities for product differentiation. With regards to sow productivity, studies will characterization the factors that result in litter birth weight phenotypes and their economic impact on the Canadian pork industry. This will provide a better understanding of the maternal and fetal interactions that give rise to this economically important trait. Studies related to boar fertility will apply breeding management techniques to identify boars with superior reproductive efficiency and allow for the identification of biological markers of boar fertility. These studies will deliver novel tools and techniques to improve breeding management practices by identifying strategies to select for and manage difficult and expensive to measure traits that hold the most potential for genomic approaches for future improvement. This will lay the foundation for improved litter quality and increased competitiveness of the pork industry.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
462759-2013
Name nom
Dyck, Michael
Department département
Agricultural, Food and Nutritional Science
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2013
Award amount
129600
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
101
Area of application group en
Agriculture and primary food production
Area of application group fr
Agriculture et produits alimentaires primaires
Area of application en
Animal production and animal primary products
Area of application fr
Production animale et produits animaux primaires
Research subject code
5505
Research subject group en
Animal biology
Research subject group fr
Biologie animale
Research subject en
Animal reproduction
Research subject fr
Reproduction animale
Partie
2
Nb partie
3
Application title
Novel selection strategies for sows and boars to optimize litter quality and performance
Keyword
NSERC
Application summary
Global, national and regional genetic companies are able to supply the Canadian pork production industry with production sows and terminal line boars with exceptional genetic merit. However, using existing management practices, and because of inadvertent genetic-environment interactions, producers fail to fully realize this genetic potential at the production level. Through a concerted effort to address issues related to the sows' impact on the performance of their litters and to maximize the genetic impact of top boars, the proposed research project will improve industry competitiveness and create opportunities for product differentiation. With regards to sow productivity, studies will characterization the factors that result in litter birth weight phenotypes and their economic impact on the Canadian pork industry. This will provide a better understanding of the maternal and fetal interactions that give rise to this economically important trait. Studies related to boar fertility will apply breeding management techniques to identify boars with superior reproductive efficiency and allow for the identification of biological markers of boar fertility. These studies will deliver novel tools and techniques to improve breeding management practices by identifying strategies to select for and manage difficult and expensive to measure traits that hold the most potential for genomic approaches for future improvement. This will lay the foundation for improved litter quality and increased competitiveness of the pork industry.